Journal of Computational and Applied Mathematics
Derivative estimates from simulation of continuous-time Markov chains
Operations Research
SIAM Journal on Matrix Analysis and Applications
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
The Relations Among Potentials, Perturbation Analysis,and Markov Decision Processes
Discrete Event Dynamic Systems
From Perturbation Analysis to Markov Decision Processes and Reinforcement Learning
Discrete Event Dynamic Systems
Sensitivity analysis of stationary performance measures for Markov chains
Mathematical and Computer Modelling: An International Journal
Optimal service rates for the state-dependent M/G/1 queues in steady state
Operations Research Letters
Continuous-Time QBD Processes with Continuous Phase Variable
Computers & Mathematics with Applications
Performance analysis of email systems under three types of attacks
Performance Evaluation
QBD sensitivity analysis tool using discrete-event simulation and extension of SMCSolver
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
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In this paper, we present an algorithmic approach for sensitivity analysis of stationary and transient performance measures of a perturbed continuous-time level-dependent quasi-birth-and-death (QBD) process with infinitely-many levels. By developing a new LU-type RG-factorization using the censoring technique, we obtain the maximal negative inverse of the infinitesimal generator of the QBD process. The derivatives of the stationary performance measures of the QBD process can then be expressed and computed in terms of the maximal negative inverse, overcoming the computational difficulty arising from the use of group inverses of infinite size in the current literature (see Cao and Chen [11]). We also use a stochastic integral functional to study the transient performance measure of the QBD process and show how to use the algorithmic approach for its sensitivity analysis. As an example, a perturbed MAP/PH/1 queue is also analyzed.